Independent Validation of a Machine Learning Classifier for Predicting Mediastinal Lymph Node Metastases in Non-Small Cell Lung Cancer Using Routinely Obtainable [ 18 F]FDG-PET/CT Parameters.

Simple Summary: This study tested a previously developed machine learning model that uses routine [18F]FDG-PET/CT scans and clinical data to judge whether lung cancer has spread to central chest lymph nodes before treatment. Researchers applied the model, without changes, to two separate patient gro...

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Publicado en:Current Oncology Vol. 32; no. 12; pp. 679 - 694
Autores principales: Wdowiak, Agata, Rogasch, Julian M. M., Baumgärtner, Georg L., Frost, Nikolaj, Rückert, Jens-Carsten, Neudecker, Jens, Ochsenreither, Sebastian, Gerhold, Manuela, Schmidt, Bernd, Graff, Mareike, Amthauer, Holger, Penzkofer, Tobias, Furth, Christian
Formato: Journal Article
Publicado: MDPI Dec2025
Acceso en línea:Ver este registro en EBSCOhost